The intermediate latent space in pre-trained StyleGAN [1]} solves the disentanglement issue and allows the generated images to be manipulated meaningfully according to changes in the latent space.
Extended latent space \(\mathcal {W}+\)  allows image manipulation with interpretable controls by a pre-trained GAN generator [2]}, [1]}, [4]}.
For latent space analysis in audio sequences, Audio-reactive StyleGAN [5]} generates an image at every time step by calculating the magnitude of the audio signal and moving it in the latent space of StyleGAN.
